forked from geekquad/AlgoBook
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathbellman_ford_algorithm.py
More file actions
42 lines (34 loc) · 969 Bytes
/
bellman_ford_algorithm.py
File metadata and controls
42 lines (34 loc) · 969 Bytes
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
# Python3 program for Bellman-Ford's single source
class Graph:
def __init__(self, vertices):
self.V = vertices
self.graph = []
def addEdge(self, u, v, w):
self.graph.append([u, v, w])
def printArr(self, dist):
print("Vertex Distance from Source")
for i in range(self.V):
print("{0}\t\t{1}".format(i, dist[i]))
def BellmanFord(self, src):
dist = [float("Inf")] * self.V
dist[src] = 0
for _ in range(self.V - 1):
for u, v, w in self.graph:
if dist[u] != float("Inf") and dist[u] + w < dist[v]:
dist[v] = dist[u] + w
for u, v, w in self.graph:
if dist[u] != float("Inf") and dist[u] + w < dist[v]:
print("Graph contains negative weight cycle")
return
self.printArr(dist)
g = Graph(5)
g.addEdge(0, 1, -1)
g.addEdge(0, 2, 4)
g.addEdge(1, 2, 3)
g.addEdge(1, 3, 2)
g.addEdge(1, 4, 2)
g.addEdge(3, 2, 5)
g.addEdge(3, 1, 1)
g.addEdge(4, 3, -3)
# Print the solution
g.BellmanFord(0)